6370 Courses in London delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Applications consultants, business analysts, business process owners, developer consultants, help desk consultants, project managers, and technology consultants. Overview This course will prepare you to: Give an overview of the S/4HANA embedded analytics architecture Explain the analytical offerings per user type Give an Introduction to SAP Best Practices for Analytics with SAP S/4HANA Explain the integration scenarios with SAP Business Warehouse In this course, students will gain an overview of the S/4HANA embedded analytics real-time operational reporting, its offerings per user type for the S/4HANA 610 and its integration with SAP Business Warehouse. Module 1 S/4HANA and S/4HANA embedded analytics introduction Module 2 S/4HANA embedded analytics architecture overview Module 3 Analytical Consumption Module 4 SAP Best Practices for Analytics with SAP S/4HANA Module 5 SAP Business Warehouse Integration Scenarios

Duration 5 Days 30 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner / Team Lead / Power User Program/Project Manager Overview This course will prepare you to: Describe the motivation for SAP S/4HANA Enterprise Management Provide an overview of basic business processes in the main components of Financial Accounting with SAP S/4HANA Students will learn how SAP S/4HANA covers the Financial Accounting related business requirements and how the fundamental business processes and tasks are executed in the system. Overview of SAP S/4HANA Outlining the Motivation for SAP HANA and SAP S/4HANA Providing an Overview of the SAP S/4HANA Products and Adoption Strategies Using the SAP Fiori Front-End Overview of Financial Accounting (FI) in SAP S/4HANA Outlining Financial Accounting (FI) Components in SAP S/4HANA General Ledger (G/L) Accounting Outlining Organizational Elements in Financial Accounting (FI) Maintaining G/L Master Records Posting Transactions in the G/L Accounts Payable Maintaining Vendor Master Records Maintaining Accounts Payable Transactions Managing the Integration between Accounts Payable and Materials Management Performing Accounts Payable Closing Operations Accounts Receivable Maintaining Customer Master Records Managing Accounts Receivable Transactions Managing Customer Correspondence Creating Accounts Receivable Dispute Cases Managing the Integration between Accounts Receivable and Sales Order Management Performing Accounts Receivable Closing Operations Asset Accounting Maintaining Asset Master Records Executing Asset Transactions Executing Asset Accounting Period-End Closing Activities Bank Accounting Maintaining Bank Accounting Master Records Managing Bank Accounting Transactions Closing Operations in General Ledger Accounting Performing General Ledger (G/L) Closing Operations

Duration 3 Days 18 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner / Team Lead / Power User Overview Describe and execute business processes in SAP S/4HANA aATP Through instructor lectures and demonstrations balanced with extensive system exercises you will gain a thorough understanding of how aATP can support your logistics processes. This course provides fundamental training regarding availability check in SAP S/4HANA. The availability check in S/4HANA Fundamentals of ATP-check during sales order processing Checking Methods in Detail (Planning Strategies and Requirement Classes, ATP-Check and Scheduling) Backorder Processing in S/4HANA Advanced Available-to-Promise (aATP) in S/4HANA Overview of the basic aATP process in S/4HANA Advanced Available-to-Promise aATP and Allocation: Single and multiple allocation checks, using manage Characteristic catalog Introducing Release for Delivery Fundamentals of Alternative-based-Confirmation Backorder Processing with aATP in S/4HANA Additional course details: Nexus Humans S4270 Advanced Available-to-Promise in SAP S/4HANA training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the S4270 Advanced Available-to-Promise in SAP S/4HANA course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for The ideal audience for the RPA and UiPath Boot Camp is beginners in the field of RPA and individuals in roles such as developers, project managers, operation analysts, and tech enthusiasts looking to familiarize themselves with automation technologies. It's also perfectly suited for business professionals keen on understanding and implementing automated solutions within their organizations to optimize processes. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Automation Learning expert instructor, students will explore: Gain a thorough understanding of Robotic Process Automation (RPA) and its applications using UiPath, setting a solid foundation for future learning and application. Learn to record and play in UiPath Studio, a key skill that enables automating complex tasks in a user-friendly environment. Master the art of designing and controlling workflows using Sequencing, Flowcharting, and Control Flow, helping to streamline and manage automation processes effectively. Acquire practical skills in data manipulation, from variable management to CSV/Excel and data table conversions, empowering you to handle data-rich tasks with confidence. Develop competence in managing controls and exploring various plugins and extensions, providing a broader toolkit for handling diverse automation projects. Get hands-on experience with exception handling, debugging, logging, code management, and bot deployment, fundamental skills that ensure your automated processes are reliable and efficient. How to deploy and control Bots with UiPath Orchestrator The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. What is Robotic Process Automation? Scope and techniques of automation Robotic process automation About UiPath The future of automation Record and Play UiPath stack Downloading and installing UiPath Studio Learning UiPath Studio Task recorder Step-by-step examples using the recorder Sequence, Flowchart, and Control Flow Sequencing the workflow Activities Control flow, various types of loops, and decision making Step-by-step example using Sequence and Flowchart Step-by-step example using Sequence and Control flow Data Manipulation Variables and scope Collections Arguments ? Purpose and use Data table usage with examples Clipboard management File operation with step-by-step example CSV/Excel to data table and vice versa (with a step-by-step example) Taking Control of the Controls Finding and attaching windows Finding the control Techniques for waiting for a control Act on controls ? mouse and keyboard activities Working with UiExplorer Handling events Revisit recorder Screen Scraping When to use OCR Types of OCR available How to use OCR Avoiding typical failure points Tame that Application with Plugins and Extensions Terminal plugin SAP automation Java plugin Citrix automation Mail plugin PDF plugin Web integration Excel and Word plugins Credential management Extensions ? Java, Chrome, Firefox, and Silverlight Handling User Events and Assistant Bots What are assistant bots? Monitoring system event triggers Monitoring image and element triggers Launching an assistant bot on a keyboard event Exception Handling, Debugging, and Logging Exception handling Common exceptions and ways to handle them Logging and taking screenshots Debugging techniques Collecting crash dumps Error reporting Managing and Maintaining the Code Project organization Nesting workflows Reusability of workflows Commenting techniques State Machine When to use Flowcharts, State Machines, or Sequences Using config files and examples of a config file Integrating a TFS server Deploying and Maintaining the Bot Publishing using publish utility Overview of Orchestration Server Using Orchestration Server to control bots Using Orchestration Server to deploy bots License management Publishing and managing updates

Duration 5 Days 30 CPD hours This course is intended for This course is geared toward Windows system administrators, network administrators, and other system administrators who are interested in supplementing current skills or backstopping other team members, in addition to Linux system administrators who are responsible for these tasks: Configuring, installing, upgrading, and maintaining Linux systems using established standards and procedures, Providing operational support, Managing systems for monitoring system performance and availability, Writing and deploying scripts for task automation and system administration. Overview #NAME? Red Hat System Administration I (RH124) equips you with Linux© administration "survival skills" by focusing on foundational Linux concepts and core tasks. You will learn how to apply command-line concepts and enterprise-level tools, starting you on your journey toward becoming a full-time Linux system administrator. This path continues with the follow-on course, Red Hat System Administration II (RH134). 1 - Getting Started with the GNOME Graphical Desktop Get started with GNOME and edit text files with gedit 2 - Manage Files Graphically with Nautilus Manage files graphically and access remote systems with Nautilus 3 - Get Help in a Graphical Environment Access documentation, both locally and online 4 - Configure Local Services Configure the date and time and configure a printer 5 - Manage Physical Storage Understand basic disk concepts and manage system disks 6 - Manage Logical Volumes Understand logical volume concepts and manage logical volumes 7 - Monitor System Resources Manage memory and CPU utilization 8 - Manage System Software Manage system software locally and using Red Hat Network (RHN) 9 - Get Started with Bash Understand basic shell concepts, execute simple commands, and use basic job control techniques 10 - Get Help in a Textual Environment Use man and info pages and find documentation in /usr/share/doc 11 - Establish Network Connectivity Understand basic network concepts; configure, manage, and test network settings 12 - Administer Users and Groups Manage users and groups 13 - Manage Files from the Command Line Understand Linux filesystem hierarchy; manage files from the command line 14 - Secure Linux File Access Understand Linux file access mechanisms; manage file access from the GUI and the command line 15 - Administer Remote Systems Share and connect to a desktop; use SSH and rsync 16 - Configure General Services Manage services; configure SSH and remote desktops 17 - Manage Physical Storage II Manage filesystem attributes and swap space 18 - Install Linux Graphically Install Red Hat Enterprise Linux and configure the system with firstboot 19 - Manage Virtual Machines Understand basic virtualization concepts; install and manage virtual machines 20 - Control the Boot Process Understand runlevels and manage GRUB 21 - Deploy File Sharing Services Deploy an FTP server and a web server 22 - Secure Network Services Manage a firewall; understand SELinux concepts and manage SELinux 23 - Comprehensive Review Get a hands-on review of the concepts covered throughout the course

Duration 5 Days 30 CPD hours This course is intended for Red Hat Certified System Administrator (RHCSA) who wants to learn how to provision and configure IdM technologies across both Linux and Windows applications Identity management specialist or engineer Access management specialist or engineer Web application developer DevOps specialist Overview As a result of attending this course, you will gain an understanding of the architecture of an identity management realm and trusted relationships using both Red Hat Enterprise Linux Identity Management and Microsoft Active Directory. You will be able to create, manage, and troubleshoot user management structures, security policies, local and remote secure access methods, and implementation technologies such as Kerberos, PKI, and certificates. You should be able to demonstrate these skills: Create and manage a scalable, resilient Identity Management realm, including both Linux and Microsoft Windows clients and servers. Create and manage secure access configurations, including managing and troubleshooting Kerberos, certificate servers, and access control policies. Integrate IdM as the back end for other major enterprise tools in the Red Hat portfolio, including Satellite Server and Tower. This course will empower you with the skills to configure and manage IdM, the comprehensive Identity Management solution bundled with Red Hat© Enterprise Linux.You will master these skills on the most requested Red Hat Identity Management (IdM) capabilities, including Active Directory trusts, multi-product federation, configuration management with Ansible, integrated certificate management, single sign-on, one-time passwords, and cybersecurity policy conformance. This course covers the same material as RH362, but includes the Red Hat Certified Specialist in Identity Management exam (EX362). Install Red Hat Identity Management Describe and install Red Hat Identity Management (IdM). Centralize Identity Management Explain the IdM server services, explore IdM clients access methods, and install an IdM client. Authenticate identities with Kerberos Define the Kerberos protocol and configure services for Kerberos authentication. Integrate IdM with Active Directory Create a trust relationship with Active Directory. Control user access Configure users for authorized access to services and resources. Manage a public key infrastructure Manage certificate authorities, certificates, and storing secrets. Maintain IdM operations Troubleshoot and recover Identity Management. Integrate Red Hat products with IdM Configure major services to share the IdM authentication database. Install scalable IdM Construct a resilient and scalable Identity Management topology.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for application developers. Overview Deploy microservice applications on Red Hat© OpenShift Container Platform. Build a microservice application with Quarkus. Implement unit and integration tests for microservices. Use the config specification to inject data into a microservice. Secure a microservice using OAuth. Build and deploy native Quarkus applications. Develop microservice-based applications with Quarkus and OpenShift. Many enterprises are looking for a way to take advantage of cloud-native architectures, but many do not know the best approach. Quarkus is an exciting new technology that brings the reliability, familiarity, and maturity of Java Enterprise with a container-ready lightning fast deployment time. Red Hat Cloud-native Microservices Development with Quarkus (DO378) emphasizes learning architectural principles and implementing microservices based on Quarkus and OpenShift. You will build on application development fundamentals and focus on how to develop, monitor, test, and deploy modern microservices applications.. This course is based on OpenShift 4.5 and Quarkus 1.7L 1 - Describe microservice architectures Describe components and patterns of microservice-based application architectures. 2 - Implement a microservice with Quarkus Describe the specifications in Quarkus, implement a microservice with some of the specifications, and deploy it to an OpenShift cluster. 3 - Build microservice applications with Quarkus Build a persistent and configurable distributed quarkus microservices application. 4 - Implement fault tolerance Implement fault tolerance in a microservice architecture. 5 - Build and deploy native Quarkus applications Describe Quarkus in native mode and describe its deployment on OpenShift Container Platform. 6 - Test microservices Implement unit and integration tests for microservices. 7 - Create application health checks Create a health check for a microservice. 8 - Secure microservices Secure microservice endpoints and communication. 9 - Monitor microservices Monitor the operation of a microservice using metrics and distributed tracing. Additional course details: Nexus Humans Red Hat Cloud-native Microservices Development with Quarkus (DO378) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat Cloud-native Microservices Development with Quarkus (DO378) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for Java developers who want to learn more about the specifications that comprise the world of Java Enterprise Edition (Java EE). Overview As a result of attending this course, you should be able to describe most of the specifications in Java EE 7 and create a component with each specification. You will be able to convert a Java SE program into a multi-tiered Java EE application. You should be able to demonstrate these skills: Describe the architecture of multi-tiered Java EE applications. Package Java EE applications and deploy to Red Hat JBoss Enterprise Application Platform with various tools. Create an Enterprise Java Bean instance. Manage the persistence of data using Java Persistence API. Create a web service using JAX-RS. Properly apply context scopes to beans and inject resources into Java Beans. Store and retrieve messages using the Java Messaging Service. Secure a Java EE application. Red Hat Application Development I: Programming in Java EE with exam (AD184) exposes experienced Java Standard Edition (Java SE) developers to the world of Java Enterprise Edition (Java EE). This course is based on Red Hat© Enterprise Application Platform 7.0. This course is a combination of Red Hat Application Development I: Programming in Java EE (AD183) and Red Hat Certified Enterprise Application Developer Exam (EX183). In this course, you will learn about the various specifications that make up Java EE. Through hands-on labs, you will transform a simple Java SE command line application into a multi-tiered enterprise application using various Java EE specifications, including Enterprise Java Beans, Java Persistence API, Java Messaging Service, JAX-RS for REST services, Contexts and Dependency Injection (CDI), and JAAS for securing the application. Transition to multi-tiered applications Describe Java EE features and distinguish between Java EE and Java SE applications. Package and deploying applications to an application server Describe the architecture of a Java EE application server, package an application, and deploy the application to an EAP server. Create Enterprise Java Beans Develop Enterprise Java Beans, including message-driven beans. Manage persistence Create persistence entities with validations. Manage entity relationships Define and manage JPA entity relationships. Create REST services Create REST APIs using the JAX-RS specification. Implement Contexts and Dependency Injection Describe typical use cases for using CDI and successfully implement it in an application. Create messaging applications with JMS Create messaging clients that send and receive messages using the JMS API. Secure Java EE applications Use JAAS to secure a Java EE application. Comprehensive review of Red Hat JBoss Development I: Java EE Demonstrate proficiency of the knowledge and skills obtained during the course. Additional course details: Nexus Humans Red Hat Application Development I: Programming in Java EE with exam (AD184) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat Application Development I: Programming in Java EE with exam (AD184) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This introductory-level course is great for experienced technical professionals working in a wide range of industries, such as software development, data science, marketing and advertising, finance, healthcare, and more, who are looking to use the latest AI and machine learning techniques in their day to day. The hands-on labs in this course use Python, so you should have some familiarity with Python scripting basics. Overview Working in an interactive learning environment, led by our engaging OpenAI expert you'll: Understand the capabilities and products offered by OpenAI and how to access them through the OpenAI API. set up an OpenAI environment on Azure, including creating an Azure virtual machine and configuring the environment to connect to Azure resources. Gain hands-on experience building a GPT-3 based chatbot on Azure and implement advanced natural language processing capabilities. Use the OpenAI API to access GPT-3 and generate high-quality text Learn how to use Whisper to improve the quality of text generation. Understand the capabilities of DALL-E and use it to generate images for unique and engaging visuals. Geared for technical professionals, Quick Start to Azure AI Basics for Technical Users is a fun, fast paced course designed to quickly get you up to speed with OpenAI?s powerful tools and functionality, and to provide hands-on experience in setting up an OpenAI environment on Azure. Guided by our AI expert, you?ll explore the capabilities of OpenAI's GPT-3, Whisper and DALL-E, and build a chatbot on Azure. It will provide you with the knowledge and resources to continue your journey in AI and machine learning and have a good understanding of the potential of OpenAI and Azure for your projects. First, you?ll dive into the world of OpenAI, learning about its products and the capabilities they offer. You'll also discover how Azure's offerings for AI and machine learning can complement OpenAI's tools and resources, providing you with a powerful combination for your projects. And don't worry if you're new to Azure, we'll walk you through the process of setting up an account and creating a resource group. As you progress through the course, you'll get the chance to work with OpenAI's GPT-3, one of the most advanced large language models available today. You'll learn how to use the OpenAI API to access GPT-3 and discover how to use it to generate high-quality text quickly and easily. And that's not all, you'll also learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to implement advanced natural language processing capabilities in your chatbot projects. The course will also cover OpenAI Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. And you will learn about OpenAI DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects. Introduction to OpenAI and Azure Explore OpenAI and its products, as well as Azure's offerings for AI and Machine Learning, allowing you to understand the tools and resources available to you for your AI projects. Explore OpenAI and its products Explore Azure and its offerings for AI and Machine Learning Get Hands-On: Setting up an OpenAI environment on Azure Walk through the process of setting up an OpenAI environment on Azure, giving you the hands-on experience needed to start building your own projects using OpenAI and Azure. Create an Azure virtual machine and installing the OpenAI SDK Configure the OpenAI environment and connecting to Azure resources Explore OpenAI GPT-3 Learn about GPT-3, one of OpenAI's most powerful language models, and how to use it to generate high quality text, giving you the ability to create natural language content quickly and easily. Review GPT-3 and its capabilities Use the OpenAI API to access GPT-3 Get Hands-on: Building a GPT-3 based chatbot on Azure Learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to learn how to implement advanced natural language processing capabilities in your chatbot projects. Setup an Azure Function and creating a chatbot Integrate GPT-3 with the chatbot OpenAI Whisper Explore Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. Explore Whisper and its capabilities Use Whisper to improve the quality of text generation OpenAI DALL-E Explore DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects. Explore DALL-E and its capabilities Use the OpenAI API to access DALL-E What?s Next: Keep Going! Other ways OpenAI can impact your day to day Explore great places to check for expanded tools and add-ons for Azure OpenAI Where to go for help and support Quick Look at Generative AI and its Business Implications Understanding Generative AI Generative AI in Business Ethical considerations of Generative AI

Duration 1 Days 6 CPD hours This course is intended for This basic course is for: Business Analyst Systems Engineer Software Engineer Requirements Engineer Requirements Manager Requirements Team Leader Overview Build projects in DOORS, including defining data structure, linking schema, attributes, and access permissions Use DOORS external linking facilities Share DOORS information with 3rd parties Control the flow of changes through your DOORS database Apply configuration management and backup strategies to your DOORS data This course builds on the content learned in the IBM Engineering Requirements Management DOORS V9.6 Foundation course. It is designed for those who will be in the role of team lead or project manager, or who want to learn more about advanced DOORS end-user functionality. It discusses creating and structuring DOORS projects, defining linking relationships and attributes, setting access permissions, and managing change. It also discusses external linking, working with spreadsheets, and applying configuration management strategies to DOORS data. Course Outline Build projects in DOORS, including defining data structure, linking schema, attributes, and access permissions Use DOORS external linking facilities Share DOORS information with 3rd parties Control the flow of changes through your DOORS database Apply configuration management and backup strategies to your DOORS data